Results 21 to 30 of about 6,737,352 (322)
AUCReshaping: improved sensitivity at high-specificity
Scientific Reports, 2023 The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific ranges of ...
Sheethal Bhat +9 more
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Palladium-catalysed formation of vicinal all-carbon quaternary centres via propargylation
Nature Communications, 2016 Formation of vicinal, quaternary stereocentres is challenging, but such products are commonly encountered in nature. Here, the authors report a palladium catalysed process to form vicinal quaternary carbons via propargylation, including in enantiopure ...
Xin Huang +5 more
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Learning optimised representations for view-invariant gait recognition [PDF]
, 2017 Gait recognition can be performed without subject cooperation under harsh conditions, thus it is an important tool in forensic gait analysis, security control, and other commercial applications.
Jia, Ning +2 more
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Sparse self-attention aggregation networks for neural sequence slice interpolation
BioData Mining, 2021 Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang +4 more
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Plants, 2021 Aster glehni F. Schmidt (AG), is a natural product known to have anti-obesity effects, but the mechanism underlying these effects is not well documented. We hypothesized that AG may have inhibitory effects on enzymes related to lipid accumulation. Herein,
Hyunbeom Lee +4 more
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Strongly Refuting Random CSPs Below the Spectral Threshold
, 2016 Random constraint satisfaction problems (CSPs) are known to exhibit threshold phenomena: given a uniformly random instance of a CSP with $n$ variables and $m$ clauses, there is a value of $m = \Omega(n)$ beyond which the CSP will be unsatisfiable with ...
Daniely Amit +5 more
core +1 more source
Journal of Imaging, 2017 Segmentation is one of the most important parts of medical image analysis. Manual segmentation is very cumbersome, time-consuming, and prone to inter-observer variability. Fully automatic segmentation approaches require a large amount of labeled training
Tanja Kurzendorfer +6 more
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Using recognition-induced forgetting to assess forgetting of racial minority faces [PDF]
, 2020 Recognition-induced forgetting is a forgetting effect whereby items held in visual long-term memory are forgotten as a consequence of recognizing other items of the same category.
Spinelli, Emily
core
International Journal of Biomedical Imaging, 2017 We improve data extrapolation for truncated computed tomography (CT) projections by using Helgason-Ludwig (HL) consistency conditions that mathematically describe the overlap of information between projections. First, we theoretically derive a 2D Fourier
Yan Xia +5 more
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Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
IEEE Access, 2019 The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors.
Mingming Tan +5 more
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